DocumentCode
3200416
Title
System power consumption minimization for multichannel communications using cognitive radio
Author
He, An ; Srikanteswara, Srikathyayani ; Bae, Kyung Kyoon ; Newman, Timothy R. ; Reed, Jeffrey H. ; Tranter, William H. ; Sajadieh, Masoud ; Verhelst, Marian
Author_Institution
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fYear
2009
fDate
9-11 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
Power consumption has been a significant issue for many mobile and wireless devices, especially those with high rate applications. This paper presents a methodology and framework to minimize system power consumption for multichannel communications using cognitive radio (CR) based on the application quality of service requirement, the channel condition, and the radio capabilities and characteristics. The CR framework enables an adaptation process that is aware of the radio (component) capabilities and characteristics. This paper mathematically formulates a system power consumption minimization problem under a rate constraint for multichannel communications and develops numerical solutions. Simulation results show that the knowledge of the radio capabilities and characteristics can help to reduce system power consumption significantly (e.g., up to 55% for a multichannel system with Class A power amplifiers).
Keywords
cognitive radio; power consumption; quality of service; wireless channels; channel condition; cognitive radio; mobile devices; multichannel communications; numerical solutions; quality of service requirement; radio capabilities; system power consumption minimization; wireless devices; Chromium; Cognitive radio; Energy consumption; Helium; MIMO; Mobile communication; Power amplifiers; Power engineering and energy; Power engineering computing; Quality of service; Cognitive radio; multichannel communications; power amplifiers; power consumption;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Communications, Antennas and Electronics Systems, 2009. COMCAS 2009. IEEE International Conference on
Conference_Location
Tel Aviv
Print_ISBN
978-1-4244-3985-0
Type
conf
DOI
10.1109/COMCAS.2009.5386063
Filename
5386063
Link To Document